C O R P O R AT I O N Flattening the Trajectory of Health Care Spending Promote Population Health Key Findings ■Although a majority of the premature deaths in the United States are due to behavioral and environmental factors, our country allocates only 5 cents of every health care dollar to prevention. ■Reversing the rising tide of obesity and further reducing rates of tobacco use could produce substantial long-term dividends in terms of lives saved and disabling illnesses prevented. ■Local communities and employers have an important role to play in promoting population health. At present, the tools available to help communities are better developed than those of employers. ■Health promotion begins in the family. Parents and peers are powerful influences on the health-related choices of children and youth. The Policy Challenge Social and behavioral factors influence the health of Americans as surely as do the efforts of physicians, nurses, and hospitals. To slow health care spending growth, we need to do a better job of addressing the determinants of disease, rather than waiting to treat its consequences. It is estimated that 70 percent of deaths in the United States and a comparable share of health care spending are due to behavioral or environmental causes,1, 2 but only 5 percent of our nation’s annual spending on health is directed toward reducing key health risks. The nation pays a high price for neglecting the possibilities of prevention. For example, high blood pressure dramatically increases the risks of heart disease, stroke, and kidney failure— all of which are major causes of death, disability, and spending through Medicare. Yet, according to This series of research briefs presents insights from RAND Health research about the effectiveness of strategies to constrain growth in health care spending. A summary brief synthesizes findings from more-detailed discussions focusing on four broad categories of policy options: (1) foster efficient and accountable providers, (2) engage and empower consumers, (3) promote population health, and (4) facilitate high-value innovation. Insights for the Second Obama Administration and 113th Congress Figure 1. Projected Lifetime Costs of Obesity to Medicare (2012 dollars) Overall Obese Overweight Normal weight Underweight 0 50,000 100,000 150,000 200,000 Lifetime costs to Medicare SOURCE: Data are drawn from Exhibit 3 in Lakdawalla DN, Goldman DP, and Shang B, 2005.9 NOTE: Dollar figures are inflated from 2005 to 2012 using the medical Consumer Price Index. 2 the Centers for Disease Control and Prevention (CDC), fewer than half of the 68 million Americans with hypertension are currently on an adequate regimen of treatment.3 Analyses using RAND’s Future Elderly Model projected that Medicare could save up to $890 billion between 2005 and 2030 if high blood pressure were effectively controlled.4 This brief presents insights from RAND research about the potential value of focusing on population health, particularly the risks of obesity and smoking. It also examines opportunities to promote health at the local level and within families. Obesity Obesity dramatically increases an individual’s risk of developing a wide variety of costly and debilitating diseases, including diabetes, heart disease, cancer, and arthritis. Obese individuals with these problems also tend to have a poorer disease prognosis than non-obese individuals. Indeed, the health consequences of obesity are even worse than those associated with smoking and problem drinking.5 A Growing Epidemic. Over the last decade, the rate of clinically severe obesity—a body mass index (BMI) of 40 kg/m2 or greater—increased by 70 percent; today, more than 15 million Americans are clinically obese. But the prevalence of morbid obesity (BMI greater than 50 kg/m2) increased even more rapidly.6 Obese individuals, on average, incur health care costs one-third higher than persons of normal weight, but severely obese individuals incur health care costs that are twice as high (Figure 1).7, 8 A recent RAND study showed if we were able to cut the current rate of obesity in the United States in half—basically, the level we were at in 1978—it would reduce the burden of such costly health problems as diabetes, hypertension, and heart disease; increase longevity and years of disability-free life; and significantly decrease Medicare and Medicaid costs.10 Savings to the Medicare program alone were projected to reach $1.2 trillion by 2030.11 Responding to the Epidemic. The basic issue is straightforward: People gain weight when they consume more calories than they burn. Because social, structural, and environmental cues play a substantial role in what—and how much—we choose to eat, these cues can be used to gently “nudge” people to develop more- or less-healthful eating habits. For example, research indicates that the amount most people eat in a given day is significantly influenced by portion size and the ubiquitous accessibility of high-calorie foods.12, 13, 14 Insights for the Second Obama Administration and 113th Congress RAND has examined a number of promising policy options for reducing rates of obesity.15 Studies show that parks promote exercise,16, 17 while school playgrounds offer an underused resource for weekend exercise. Consumption of fruits and vegetables is lower in disadvantaged neighborhoods,18 suggesting that efforts by community groups, businesses, or government to increase the availability of fresh produce and other healthy foods in disadvantaged neighborhoods may be worth pursuing. More intrusive public policies that could make a difference include imposing higher taxes on sugary soft drinks and junk food, as well as standardizing portion sizes. More extreme measures, such as neighborhood moratoriums on opening or expanding fast food restaurants, are unlikely to be effective.19, 20, 21 As for conventional medical options, bariatric surgery remains the only effective approach to manage severe obesity.22 Compared with many other procedures, it is relatively costeffective. But is it the best approach for society? In the United States, the number of bariatric surgical procedures for weight loss increased from 13,000 in 1998 to about 220,000 in 2009, according to the American Society for Bariatric Surgery.23 But the explosive increase in the use of this procedure failed to make a dent in rates of morbid obesity, which grew at twice the rate of moderate obesity.24 So surgery does not appear to be the answer.25 Considered as a whole, RAND’s findings suggest that our nation’s approach to controlling obesity should be rethought. Public campaigns to prevent obesity have focused on nutritional guidelines, diets, and food labels with nutritional information. These efforts assume that, armed with proper information, people will consume fewer calories. But this presumes that eating is a conscious act. RAND’s research, and the work of others, suggests that eating is influenced more by environmental factors than conscious choice.26 If this assumption is confirmed by future studies, then instead of relying on public educational or motivational approaches to reduce food consumption, efforts should focus on altering the environmental cues that encourage overeating. Smoking Rates of smoking have declined dramatically since release of the Surgeon General’s 1964 report, Smoking and Health.27 Nevertheless, smoking remains the leading preventable cause of death in the United States.28 Today, 22 percent of U.S. adults—roughly 66 million people—use tobacco products.29, 30 Cigarette smoking, reported by nearly 20 percent of the adult population,31, 32 is a leading cause of coronary heart disease, stroke, and chronic obstructive lung disease,33 and it is responsible for nearly one-third of all cancer deaths.34 It also costs public and private health plans roughly $96 billion per year, excluding costs from secondhand smoke and productivity losses.35 Smokeless tobacco, currently used by about 4 percent of U.S. adults,36 produces many of the same health harms as smoking. Youth who use smokeless tobacco are more likely to become smokers.37 The fastest way to reduce current population-based smoking rates is to help smokers quit. However, the best way to lower rates over the long term is to discourage children and youth from starting to smoke.38 RAND researchers have studied a number of promising strategies for achieving both goals, including examining the influence of peers and coworkers on uptake of smoking39, 40 and changing how smoking is portrayed in the media.41 In 2001, the states played a historic role in tobacco control by banding together to successfully sue tobacco manufacturers for the harms caused by their products. The massive settlement that ended the lawsuit not only generated substantial funding for tobacco control—it also indirectly boosted the prices of tobacco products, which discouraged sales.42 The states can continue to play a constructive role in tobacco control in three important ways: tax policy, smoke-free air laws, and ongoing support of tobacco prevention and cessation programs.43 The tobacco control program in Arkansas is a noteworthy example.44 After the program was put into effect in 2001, the state’s smoking rate fell more quickly than the rate in six neighboring states. Today, half as many young people in Arkansas smoke as did a decade ago. The state’s declining rate of smoking appears to have produced dividends for its population. By 2008, far fewer young people in Arkansas smoked than when the program began (Figure 2).45 A year later, in 2009, the rate of youth smoking in Arkansas was half that of a decade earlier. In 2010, statewide rates of hospitalization for heart attacks and strokes—both smokingrelated conditions—were one-third lower than in 2000.46 Promoting Health at the Local Level Substance use prevention programs can improve the behavioral health of communities, as well as saving four to five dollars for every dollar invested in drug abuse treatment and counseling.48 However, local health departments and prevention practitioners face several challenges in implementing high-quality prevention programs, including the significant amount of knowledge and skills required to create effective programs, the multiple steps 3 Insights for the Second Obama Administration and 113th Congress Figure 2. Decreases in Smoking Prevalence Among Young People in Arkansas, 2000–2008 40 35 High school students Pregnant teenagers 30 25 20 15 10 5 0 2000 rate 2005 rate SOURCE: Schultz D et al., 2010.47 4 2007 rate 2008 rate involved, and the wide variety of contexts in which prevention programs need to be implemented. These challenges have resulted in a large gap between the positive impact achieved by prevention science and the lack of comparable outcomes by public health practitioners at the local level. Support for Community Substance Prevention Programs. To bridge this gap, a team of researchers at RAND and the University of South Carolina developed Getting To OutcomesTM (GTO), a science-based model and associated support tools designed to help communities plan, implement, and evaluate programs aimed at preventing or reducing a range of negative activities among youth.49 The GTO model has successfully translated research into practice—it is prescriptive, yet flexible enough to strengthen any prevention program. Although the model was originally aimed at preventing youth drug and tobacco use, it has also been used to support community programs targeting crime, teen pregnancy, delinquency, underage drinking, intimate partner violence, and sexual violence.50, 51 Workplace Wellness. The public sector is not the only avenue for strengthening population health: Employers can play a role as well. A growing number of employers are implementing workplace wellness programs in an attempt to promote healthy lifestyles, prevent disease, reduce absenteeism, enhance employee productivity, and lower health care costs. Most programs combine a mix of educational (e.g., diet counseling) and motivational incentives (e.g., providing financial and nonfinancial incentives to encourage lifestyle changes).52 In 2009, 58 percent of U.S. employers offered at least one type of wellness program.53 Consumer participation, currently averaging a little more than 20 percent, is gradually rising.54 These trends are likely to accelerate as employers take more-aggressive action to limit rising health care costs.55 However, the growth of workplace wellness programs is outpacing the underlying evidence. Research compiled since 2000 provides mixed evidence of program effects.56 Given employers’ strong interest in wellness, and the emphasis placed on worksite health promotion in the Affordable Care Act, rigorous evaluations are needed to identify, assess, and refine effective programs. Worksite wellness efforts may increase costs in the short term before reducing them in the longer term. A RAND-led evaluation of PepsiCo’s health and wellness program examined the program’s return on investment for the company.57 In its first year of operation, the program increased per member per month (PMPM) costs by $66, but in the second and third years of the program, PMPM Insights for the Second Obama Administration and 113th Congress costs declined by $76 and $61, respectively. Over all three years, the program was associated with reduced PMPM costs of $38, a decrease of 50 emergency room visits per 1,000 member-years, and a decrease of 16 hospital admissions per 1,000 member-years. RAND’s evaluation examined a single program, so it may not generalize to other workplace settings. However, these findings suggest that companies should adopt a longer-term view when implementing a new program. RAND is currently conducting additional evaluations of workplace wellness programs and will release more findings in the months to come. The Family’s Role in Promoting Health The goal of health promotion is to make the “healthy choice the easy choice.”58 RAND researchers have identified numerous factors that are associated with healthy decisions in childhood, adolescence, and adulthood. Two of the most important forces that parents should monitor are media influences and the reinforcement of peers. Media Influences. The media plays a very important role in defining social norms and signaling to children and adolescents what behaviors are acceptable, or even admirable. These effects are a particular concern for children and adolescents, who may be more susceptible to harmful messages because of their youth. In addition, individuals who adopt unhealthy behaviors in their youth, such as smoking, tend to continue those behaviors throughout their lives. Over the past decade, RAND researchers have found links between media exposure and the initiation of smoking, alcohol use, and sexual activity. Youth exposed to ads or movies featuring cigarette or alcohol use are more likely to initiate smoking59, 60, 61 and drinking behaviors.62, 63 The RAND Television and Adolescent Sexuality Study demonstrated a relationship between viewing sexual content on TV and the subsequent initiation of intercourse, as well as teenage pregnancy.64, 65, 66 Obviously, media content is not readily amenable to public policy action, due to First Amendment concerns. However, parents can shield young children from unhealthy media messages and counter messages aimed at older children through regular communication and by serving as a good role model.67 Peer Influences. RAND research has also shed light on the powerful role that family and peer social networks play in influencing risky behaviors, such as substance and alcohol use, smoking, overeating, and physical inactivity. Although peer networks are frequently implicated in the initiation of risky behavior, positive peer relationships can also be leveraged to exert protective effects. The positive and negative effects of peer relationships informed the development of one of RAND’s most successful programs: Project ALERT, a school-based drug and alcohol prevention program.68 In contrast with other programs that have produced disappointing results, Project ALERT has been shown to be highly effective at reducing rates of student substance use.69 When first created in the 1980s, Project ALERT represented a departure from typical, education-focused prevention activities. It recognized that a key dimension of adolescent substance use is the social environment in which children are pressured to engage in risky activities. Project ALERT targets these social norms while giving students tools to recognize and resist social and media pressure to drink and do drugs. Initially tested among middle school students, the program was subsequently extended to the 9th grade, where it curbed weekly alcohol and marijuana use, at-risk drinking, and attitudes conducive to drug use among at-risk girls.70 Project ALERT is now the most widely used research-based drug prevention program in the United States. It is distributed by the BEST Foundation, which periodically updates program materials and offers training and technical assistance to encourage school-wide or district-level adoption of the program.71 The resistance skills that Project ALERT teaches remain long after the formal program is completed. Compared with peers who had not received the program, youth exposed to Project ALERT as adolescents were significantly less likely as young adults to either engage in sex with multiple partners or have unprotected sex because of drug and alcohol use.72 Conclusion A broad range of social, behavioral, and environmental factors influence Americans’ health as surely as does the treatment provided by doctors, clinics, and hospitals. But because population health measures typically have long lead times to produce results, they are rarely considered in discussions of policy options to limit growth of health care spending. If spending on health care crowds out national and state-level investments in public education, environmental protection, and other important contributors to population health, our nation’s downstream health care costs may be greater still. 5 Insights for the Second Obama Administration and 113th Congress Notes 1 Centers for Disease Control and Prevention, “Ten Great Public Health Achievements—United States, 2001–2010,” Morbidity and Mortality Weekly Report, Vol. 60, No. 19, May 20, 2011, pp. 619–623. http://www. cdc.gov/mmwr/preview/mmwrhtml/mm6019a5.htm Sturm R et al., “Preventing Obesity and Its Consequences: Highlights of RAND Health Research,” Santa Monica, Calif.: RAND Corporation, RB-9508, 2011. http://www.rand.org/pubs/research_briefs/RB9508/ index1.html 2 Institute of Medicine, Promoting Health: Intervention Strategies from Social and Behavioral Research, June 25, 2000. http://iom.edu/Reports/ 2000/Promoting-Health-Intervention-Strategies-from-Social-andBehavioral-Research.aspx 16 Centers for Disease Control and Prevention, “Vital Signs: Prevalence, Treatment, and Control of Hypertension—United States, 1999–2002 and 2005–2008,” Morbidity and Mortality Weekly Report, Vol. 60, No. 4, February 4, 2011, pp. 103–108. http://www.cdc.gov/mmwr/preview/ mmwrhtml/mm6004a4.htm?s_cid=mm6004a4_w 17 Cohen D et al., “How Neighborhoods Can Reduce the Risk of Obesity,” Santa Monica, Calif.: RAND Corporation, RB-9267-HLTH, 2007. http://www.rand.org/pubs/research_briefs/RB9267/index1.html 3 Goldman DP et al., “Modeling the Health and Medical Care Spending of the Future Elderly,” Santa Monica, Calif.: RAND Corporation, RB-9324, 2008. http://www.rand.org/pubs/research_briefs/RB9324/ index1.html 4 Sturm R, “The Effects of Obesity, Smoking, and Drinking on Medical Problems and Costs,” Health Affairs, Vol. 21, No. 2, March/April 2002, pp. 245–253. http://www.rand.org/pubs/reprints/RP1003.html 5 Sturm R and Hattori A, “Morbid Obesity Rates Continue to Rise Rapidly in the United States,” International Journal of Obesity (London), September 18, 2012. http://www.rand.org/pubs/external_publications/ EP51074.html 6 Sturm R, “The Effects of Obesity, Smoking, and Drinking on Medical Problems and Costs,” Health Affairs, Vol. 21, No. 2, March/April 2002, pp. 245–253. http://www.rand.org/pubs/reprints/RP1003.html 7 Andreyeva T, Sturm R, and Ringel JS, “Moderate and Severe Obesity Have Large Differences in Health Care Costs,” Obesity Research, Vol. 12, No. 12, December 2004, pp. 1936–1943. http://www.rand.org/pubs/ external_publications/EP20041222.html 8 Lakdawalla DN, Goldman DP, and Shang B, “The Health and Cost Consequences of Obesity Among the Future Elderly,” Health Affairs— Web Exclusive, September 26, 2005, pp. W5-R30–W5-R41. http://www. rand.org/pubs/external_publications/EP20050913.html 9 Sturm R et al., “Preventing Obesity and Its Consequences: Highlights of RAND Health Research,” Santa Monica, Calif.: RAND Corporation, RB-9508, 2011. http://www.rand.org/pubs/research_briefs/RB9508/ index1.html 10 Goldman DP et al., “Modeling the Health and Medical Care Spending of the Future Elderly,” Santa Monica, Calif.: RAND Corporation, RB-9324, 2008. http://www.rand.org/pubs/research_briefs/RB9324/ index1.html 11 Cohen DA and Farley TA, “Eating as an Automatic Behavior,” Preventing Chronic Disease, Vol. 5, No. 1, January 2008, p. A23. http:// www.rand.org/pubs/reprints/RP1326.html 12 Cohen DA and Babey SH, “Candy at the Cash Register—A Risk Factor for Obesity and Chronic Disease,” New England Journal of Medicine, Vol. 367, 2012, pp. 1381–1383. http://www.rand.org/pubs/ external_publications/EP51111.html 13 Cohen DA, “Pathways to Obesity: Are People ‘Hardwired’ to Overeat?” Santa Monica, Calif.: RAND Corporation, RB-9361, 2008. http://www. rand.org/pubs/research_briefs/RB9361/index1.html 14 6 15 Cohen DA, “Obesity and the Built Environment: Changes in Environmental Cues Cause Energy Imbalances,” International Journal of Obesity, Vol. 32, Supplement 7, December 2008, pp. S137–142. http://www.rand. org/pubs/external_publications/EP20081225.html Dubowitz T et al., “Do Neighborhood Economic Conditions Influence the Consumption of Fruits and Vegetables?” Santa Monica, Calif.: RAND Corporation, RB-9375, 2008. http://www.rand.org/pubs/ research_briefs/RB9375/index1.html 18 Sturm R and Cohen D, “South Los Angeles Ban on Fast-Food Chains Misses the Mark,” Santa Monica, Calif.: RAND Corporation, RB-9489, 2009. http://www.rand.org/pubs/research_briefs/RB9489/index1.html 19 Sturm R et al., “Soda Taxes, Soft Drink Consumption, and Children’s Body Mass Index,” Health Affairs, Vol. 29, No. 5, May 2010, pp. 1052–1058. http://www.rand.org/pubs/external_publications/EP20100032.html 20 Sturm R and Datar A, “Food Prices and Weight Gain During Elementary School: 5-Year Update,” Public Health, Vol. 122, No. 11, November 2008, pp. 1140–1143. http://www.rand.org/pubs/external_ publications/EP20081107.html 21 Gibbons MM et al., “Weight Loss Surgery Is More Effective Than Diet and Exercise in Helping Severely Obese People Lose Weight,” Santa Monica, Calif.: RAND Corporation, RB-9140, 2005. http://www.rand. org/pubs/research_briefs/RB9140/index1.html 22 Sturm R, “Worth Its Weight in Gold?” Public Service Review: European Union, Issue 21, April 21, 2011. http://www.rand.org/commentary/ 2011/04/21/PSR.html 23 24 Sturm R et al., “Obesity and Disability: The Shape of Things to Come,” Santa Monica, Calif.: RAND Corporation, RB-9043-1, 2007. http://www.rand.org/pubs/research_briefs/RB9043-1/index1.html 25 Sturm R, “Worth Its Weight in Gold?” Public Service Review: European Union, Issue 21, April 21, 2011. http://www.rand.org/commentary/ 2011/04/21/PSR.html Cohen D and Farley T, “Why People Overeat: Rethinking the Causes of Obesity,” Santa Monica, Calif.: RAND Corporation, RB-9327, 2008. http://www.rand.org/pubs/research_briefs/RB9327/index1.html 26 National Library of Medicine, “The Reports of the Surgeon General,” last modified March 27, 2002. http://profiles.nlm.nih.gov/NN/B/B/M/Q/ 27 28 Centers for Disease Control and Prevention, “Health Effects of Cigarette Smoking,” fact sheet, January 10, 2012. http://www.cdc.gov/ tobacco/data_statistics/fact_sheets/health_effects/effects_cig_smoking/ index.htm Substance Abuse and Mental Health Services Administration, Results from the 2009 National Survey on Drug Use and Health: Detailed Tables, Rockville, Md.: U.S. Department of Health and Human Services, 2010. 29 30 United States Census Bureau, “Population Estimates—Vintage 2009: National Tables,” last revised June 27, 2012. http://www.census.gov/ popest/data/historical/2000s/vintage_2009/index.html Insights for the Second Obama Administration and 113th Congress 31 Centers for Disease Control and Prevention, “Health Effects of Cigarette Smoking,” fact sheet, January 10, 2012. http://www.cdc.gov/ tobacco/data_statistics/fact_sheets/health_effects/effects_cig_smoking/ index.htm Schultz D et al., Evaluation of the Arkansas Tobacco Settlement Program: Progress During 2008 and 2009, Santa Monica, Calif.: RAND Corporation, TR-834-ATSC, 2010. http://www.rand.org/pubs/technical_reports/ TR834.html King B et al., “Vital Signs: Current Cigarette Smoking Among Adults Aged Greater Than or Equal to 18 Years—United States, 2005–2010,” Morbidity and Mortality Weekly Report, Vol. 60, No. 35, 2011, pp. 1207–1212. 46 32 Centers for Disease Control and Prevention, “Health Effects of Cigarette Smoking,” fact sheet, January 10, 2012. http://www.cdc.gov/ tobacco/data_statistics/fact_sheets/health_effects/effects_cig_smoking/ index.htm 33 American Cancer Society, “Cigarette Smoking,” last revised November 21, 2011. http://www.cancer.org/Cancer/CancerCauses/TobaccoCancer/ CigaretteSmoking/cigarette-smoking-who-and-how-affects-health 34 Campaign for Tobacco-Free Kids, “Toll of Tobacco in the United States of America,” June 13, 2012. http://www.tobaccofreekids.org/ research/factsheets/pdf/0072.pdf 35 Centers for Disease Control and Prevention, “Health Effects of Cigarette Smoking,” fact sheet, January 10, 2012. http://www.cdc.gov/ tobacco/data_statistics/fact_sheets/health_effects/effects_cig_smoking/ index.htm 36 Centers for Disease Control and Prevention, “Health Effects of Cigarette Smoking,” fact sheet, January 10, 2012. http://www.cdc.gov/ tobacco/data_statistics/fact_sheets/health_effects/effects_cig_smoking/ index.htm 37 Lantz PM et al., “Investing in Youth Tobacco Control: A Review of Smoking Prevention and Control Strategies,” Tobacco Control, Vol. 9, 2000, pp. 47–63. http://www.rand.org/pubs/external_publications/ EP20000004.html 38 39 Tucker JS et al., “Resisting Smoking When a Best Friend Smokes: Do Intrapersonal and Contextual Factors Matter?” Journal of Research on Adolescence, Vol. 22, No. 1, March 2012, pp. 113–122. http://www.rand. org/pubs/external_publications/EP201100222.html Go MH et al., “Peer Influence and Selection Effects on Adolescent Smoking,” Drug and Alcohol Dependence, Vol. 109, No. 1–3, June 1, 2010, pp. 239–242. http://www.rand.org/pubs/external_publications/ EP20100038.html 40 Shadel WG et al., “How Does Exposure to Cigarette Advertising Contribute to Smoking in Adolescents? The Role of the Developing Self-Concept and Identification with Advertising Models,” Addictive Behaviors, Vol. 34, No. 11, November 2009, pp. 932–937. http://www. rand.org/pubs/external_publications/EP20091101.html 41 42 Gruber J, “The Economics of Tobacco Regulation,” Health Affairs, Vol. 21, No. 2, March 2002, pp. 146–162. http://content.healthaffairs. org/content/21/2/146.full.html Centers for Disease Control and Prevention, Best Practices for Comprehensive Tobacco Control Programs—2007, Atlanta, Ga.: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health, October 2007. 43 Schultz D et al., “The Arkansas Tobacco Settlement Programs: The Impact of One State’s Investment in the Health of its Residents,” Santa Monica, Calif.: RAND Corporation, RB-9537-ATSC, 2010. http://www. rand.org/pubs/research_briefs/RB9537/index1.html 44 45 Arkansas Department of Health, “Arkansas Tobacco Prevention and Cessation Program,” 2012. Schultz D et al., Evaluation of the Arkansas Tobacco Settlement Program: Progress During 2008 and 2009, Santa Monica, Calif.: RAND Corporation, TR-834-ATSC, 2010. http://www.rand.org/pubs/technical_reports/ TR834.html 47 RAND Corporation, “Getting To Outcomes: Improving CommunityBased Prevention,” last modified October 3, 2012. http://www.rand.org/ health/projects/getting-to-outcomes.html 48 49 RAND Corporation, “Getting To Outcomes: Improving CommunityBased Prevention,” last modified October 3, 2012. http://www.rand.org/ health/projects/getting-to-outcomes.html 50 Chinman M et al., “Getting To Outcomes™: Improving CommunityBased Substance-Use Prevention,” Santa Monica, Calif.: RAND Corporation, RB-9172, 2006. http://www.rand.org/pubs/research_briefs/ RB9172/index1.html RAND Corporation, “GTO Manuals and Summaries,” 2012. http:// www.rand.org/health/projects/getting-to-outcomes/documents.html 51 52 Goetzel RZ and Ozminkowski RJ, “The Health and Cost Benefits of Work Site Health-Promotion Programs,” Annual Review of Public Health, Vol. 29, 2008, pp. 303–323. 53 Kaiser Family Foundation and Health Research and Educational Trust, Employer Health Benefits 2009 Annual Survey, Menlo Park, Calif.: Kaiser Family Foundation, and Chicago, Ill.: Health Research and Educational Trust, 2009. http://ehbs.kff.org/2009.html Keckly P and Hoffman M, 2010 Survey of Health Care Consumers: Key Findings, Strategic Implications, Washington, D.C.: Deloitte Center for Health Solutions, 2010. 54 Koh H and Sebelius K, “Promoting Prevention Through the Affordable Care Act,” New England Journal of Medicine, Vol. 363, No. 14, 2010, pp. 1296–1299. 55 Osilla KC et al., “Systematic Review of the Impact of Worksite Wellness Programs,” American Journal of Managed Care, Vol. 18, No. 2, February 2012, pp. e68–e81. http://www.rand.org/pubs/external_ publications/EP201200139.html 56 Liu H et al., “Effect of an Employer-Sponsored Health and Wellness Program on Medical Cost and Utilization,” Population Health Management, Epub July 2012. http://www.rand.org/pubs/external_publications/ EP201200173.html 57 58 Benjamin G, “Prevention Funding: One Step Forward, Two Steps Back,” Health Affairs blog, March 1, 2012. http://healthaffairs.org/ blog/2012/03/01/prevention-funding-one-step-forward-two-steps-back/ 59 Shadel WG et al., “Motives for Smoking in Movies Affect Future Smoking Risk in Middle School Students: An Experimental Investigation,” Drug and Alcohol Dependence, Vol. 123, No. 1–3, 2012, pp. 66–71. http://www.rand.org/pubs/external_publications/EP201100256.html 7 Insights for the Second Obama Administration and 113th Congress DiRocco DN and Shadel WG, “Gender Differences in Adolescents’ Responses to Themes of Relaxation in Cigarette Advertising: Relationship to Intentions to Smoke,” Addictive Behaviors, Vol. 32, No. 2, 2007, pp. 205–213. http://www.rand.org/pubs/external_publications/ EP20070203.html 60 Shadel WG, Tharp-Taylor S, and Fryer CS, “How Does Exposure to Cigarette Advertising Contribute to Smoking in Adolescents? 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Results from a Longitudinal Assessment,” Addiction, Vol. 100, No. 2, 2005, pp. 235–246. http://www.rand.org/pubs/external_ publications/EP20050215.html 63 Collins RL, “Sex on Television and Its Impact on American Youth: Background and Results from the RAND Television and Adolescent Sexuality Study,” Child and Adolescent Psychiatric Clinics of North America, Vol. 14, No. 3, 2005, pp. 371–385. http://www.rand.org/pubs/ external_publications/EP20050704.html 64 Collins RL et al., “Does Watching Sex on Television Influence Teens’ Sexual Activity?” Santa Monica, Calif.: RAND Corporation, RB-9068, 2004. http://www.rand.org/pubs/research_briefs/RB9068/index1.html 65 Chandra A et al., “Exposure to Sex on TV May Increase Chance of Teen Pregnancy,” Santa Monica, Calif.: RAND Corporation, RB-9398, 2008. http://www.rand.org/pubs/research_briefs/RB9398/index1.html 66 Schuster MA et al., “Evaluation of Talking Parents, Healthy Teens, a New Worksite Based Parenting Programme to Promote Parent-Adolescent Communication About Sexual Health: Randomised Controlled Trial,” British Medical Journal, Vol. 337, No. 7664, August 2, 2008, pp. 1–9. http://www.rand.org/pubs/external_publications/EP20080809.html 67 Tucker JS, Ellickson PL, and Klein DJ, “Classroom Drug Prevention Works,” Santa Monica, Calif.: RAND Corporation, RB-4560, 2004. http://www.rand.org/pubs/research_briefs/RB4560/index1.html 68 Ellickson P, “Helping Adolescents Resist Drugs,” Santa Monica, Calif.: RAND Corporation, RB-4518-1, 2000. http://www.rand.org/pubs/ research_briefs/RB4518-1/index1.html 69 70 Longshore D et al., “School-Based Drug Prevention Among At-Risk Adolescents: Effects of ALERT Plus,” Health Education and Behavior, Vol. 34, No. 4, August 2007, pp. 651–668. http://www.rand.org/pubs/ external_publications/EP20070803.html 71 Project Alert, “About Us,” 2012. http://www.projectalert.com/about_us Ellickson PL, McCaffrey DF, and Klein DJ, “Long-Term Effects of Drug Prevention on Risky Sexual Behavior Among Young Adults,” Journal of Adolescent Health, Vol. 45, No. 2, August 2009, pp. 111–117. http://www.rand.org/pubs/external_publications/EP20090807.html 72 This research brief was written by Ramya Chari, Peter S. 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